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Computer Vision - ECCV 2014 Workshops

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Cover of 'Computer Vision - ECCV 2014 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Grading Tai Chi Performance in Competition with RGBD Sensors
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    Chapter 2 Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study
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    Chapter 3 Modeling Supporting Regions for Close Human Interaction Recognition
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    Chapter 4 Fast Features Invariant to Rotation and Scale of Texture
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    Chapter 5 Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis
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    Chapter 6 Impact of Topology-Related Attributes from Local Binary Patterns on Texture Classification
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    Chapter 7 Gait-Based Person Identification Using Motion Interchange Patterns
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    Chapter 8 Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors
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    Chapter 9 Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience
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    Chapter 10 Facial Expression Analysis Based on High Dimensional Binary Features
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    Chapter 11 Weight-Optimal Local Binary Patterns
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    Chapter 12 Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval
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    Chapter 13 On the Effects of Illumination Normalization with LBP-Based Watchlist Screening
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    Chapter 14 The Visual Object Tracking VOT2014 Challenge Results
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    Chapter 15 Weighted Update and Comparison for Channel-Based Distribution Field Tracking
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    Chapter 16 Exploiting Contextual Motion Cues for Visual Object Tracking
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    Chapter 17 Clustering Local Motion Estimates for Robust and Efficient Object Tracking
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    Chapter 18 A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration
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    Chapter 19 Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems
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    Chapter 20 Mixing Low-Level and Semantic Features for Image Interpretation
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    Chapter 21 Events Detection Using a Video-Surveillance Ontology and a Rule-Based Approach
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    Chapter 22 Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags
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    Chapter 23 Characterizing Predicate Arity and Spatial Structure for Inductive Learning of Game Rules
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    Chapter 24 Perceptual Narratives of Space and Motion for Semantic Interpretation of Visual Data
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    Chapter 25 Multi-Entity Bayesian Networks for Knowledge-Driven Analysis of ICH Content
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    Chapter 26 $$\mathcal {ALC({\mathbf {F}}})$$ : A New Description Logic for Spatial Reasoning in Images
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    Chapter 27 SceneNet: A Perceptual Ontology for Scene Understanding
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    Chapter 28 Affordances in Video Surveillance
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    Chapter 29 Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle
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    Chapter 30 Detecting Fine-Grained Affordances with an Anthropomorphic Agent Model
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    Chapter 31 A Bio-Inspired Robot with Visual Perception of Affordances
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    Chapter 32 Integrating Object Affordances with Artificial Visual Attention
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    Chapter 33 Modelling Primate Control of Grasping for Robotics Applications
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    Chapter 34 OBEliSK: Novel Knowledgebase of Object Features and Exchange Strategies
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    Chapter 35 How Industrial Robots Benefit from Affordances
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    Chapter 36 The Aspect Transition Graph: An Affordance-Based Model
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    Chapter 37 MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves
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    Chapter 38 Feedback Loop Between High Level Semantics and Low Level Vision
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    Chapter 39 How to Supervise Topic Models
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    Chapter 40 Barcode Imaging Using a Light Field Camera
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    Chapter 41 Depth Estimation for Glossy Surfaces with Light-Field Cameras
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    Chapter 42 Accurate Disparity Estimation for Plenoptic Images
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    Chapter 43 SocialSync: Sub-Frame Synchronization in a Smartphone Camera Network
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    Chapter 44 Depth and Arbitrary Motion Deblurring Using Integrated PSF
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    Chapter 45 Acquiring 4D Light Fields of Self-Luminous Light Sources Using Programmable Filter
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    Chapter 46 Light Field from Smartphone-Based Dual Video
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    Chapter 47 Ten Years of Pedestrian Detection, What Have We Learned?
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    Chapter 48 Fast 3-D Urban Object Detection on Streaming Point Clouds
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    Chapter 49 Relative Pose Estimation and Fusion of Omnidirectional and Lidar Cameras
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    Chapter 50 Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry
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    Chapter 51 Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors
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    Chapter 52 Privacy of Facial Soft Biometrics: Suppressing Gender But Retaining Identity
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    Chapter 53 Exploring the Magnitude of Human Sexual Dimorphism in 3D Face Gender Classification
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    Chapter 54 Towards Predicting Good Users for Biometric Recognition Based on Keystroke Dynamics
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    Chapter 55 How Much Information Kinect Facial Depth Data Can Reveal About Identity, Gender and Ethnicity?
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    Chapter 56 An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database
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    Chapter 57 Gender Classification from Iris Images Using Fusion of Uniform Local Binary Patterns
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    Chapter 58 Evaluation of Texture Descriptors for Automated Gender Estimation from Fingerprints
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    Chapter 59 Recognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches
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    Chapter 60 Person Identification in Natural Static Postures Using Kinect
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    Chapter 61 Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning
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    Chapter 62 Facial Ethnic Appearance Synthesis
Overall attention for this book and its chapters
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Mentioned by

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7 patents

Citations

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Readers on

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Title
Computer Vision - ECCV 2014 Workshops
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-16181-5
ISBNs
978-3-31-916180-8, 978-3-31-916181-5
Editors

Lourdes Agapito, Michael M. Bronstein, Carsten Rother

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 16 20%
Student > Master 15 19%
Student > Bachelor 5 6%
Student > Postgraduate 4 5%
Other 9 11%
Unknown 13 16%
Readers by discipline Count As %
Computer Science 50 62%
Engineering 14 17%
Mathematics 1 1%
Physics and Astronomy 1 1%
Unspecified 1 1%
Other 0 0%
Unknown 14 17%